Jong Min Lee
Orcid: 0000-0001-5395-0067Affiliations:
- Massachusetts Institute of Technology, Cambridge, MA, USA
- Seoul National University, South Korea
According to our database1,
Jong Min Lee
authored at least 31 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Machine learning for industrial sensing and control: A survey and practical perspective.
CoRR, 2024
2023
Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization.
Comput. Chem. Eng., November, 2023
2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey.
CoRR, 2022
Sparse Bayesian long short-term memory networks for computationally efficient stochastic modeling of plasma etch processes.
Comput. Chem. Eng., 2022
Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization.
Comput. Chem. Eng., 2022
2021
Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences.
Int. J. Control, 2021
Comput. Chem. Eng., 2021
Real-time synchronization with expected distribution of synchronized index for on-line monitoring of uneven multiphase batch process.
Comput. Chem. Eng., 2021
Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor.
Comput. Chem. Eng., 2021
Comput. Chem. Eng., 2021
2020
Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay.
CoRR, 2020
Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso.
Comput. Chem. Eng., 2020
Ensemble learning based latent variable model predictive control for batch trajectory tracking under concept drift.
Comput. Chem. Eng., 2020
Convergence analysis of the deep neural networks based globalized dual heuristic programming.
Autom., 2020
2019
Hybrid Nonlinear Model Predictive Control of LNT and Urealess SCR Aftertreatment System.
IEEE Trans. Control. Syst. Technol., 2019
Efficient online model-based design of experiments via parameter subset selection for batch dynamical systems.
Comput. Chem. Eng., 2019
2018
Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics.
Comput. Chem. Eng., 2018
NARX modeling for real-time optimization of air and gas compression systems in chemical processes.
Comput. Chem. Eng., 2018
A POMDP framework for integrated scheduling of infrastructure maintenance and inspection.
Comput. Chem. Eng., 2018
Enhancement of modifier adaptation scheme via feedforward decision maker using historical disturbance data and deep machine learning.
Comput. Chem. Eng., 2018
2016
Iterative learning model predictive control for constrained multivariable control of batch processes.
Comput. Chem. Eng., 2016
Robust leak detection and its localization using interval estimation for water distribution network.
Comput. Chem. Eng., 2016
2012
Comput. Chem. Eng., 2012
2010
Probabilistic modeling and dynamic optimization for performance improvement and risk management of plant-wide operation.
Comput. Chem. Eng., 2010
2008
PLoS Comput. Biol., 2008
2006
Comput. Chem. Eng., 2006
2005
Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes.
Autom., 2005
2004
An introduction to a dynamic plant-wide optimization strategy for an integrated plant.
Comput. Chem. Eng., 2004